activity
20202024
most citedApplying Wav2vec2.0 to Speech Recognition in Various Low-resource Languages

58 citations · 97 across the 38 of their papers we have counts for

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Showing cs.CLShow all

8 papers · 1 filter

cs.CL2022

Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition

Xulong Zhang, Jianzong Wang, Ning Cheng +3

The recent emergence of joint CTC-Attention model shows significant improvement in automatic speech recognition (ASR). The improvement largely lies in the modeling of linguistic in…

cs.CL2022

Improving Imbalanced Text Classification with Dynamic Curriculum Learning

Xulong Zhang, Jianzong Wang, Ning Cheng +1

Recent advances in pre-trained language models have improved the performance for text classification tasks. However, little attention is paid to the priority scheduling strategy on…

cs.CL2022

Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation

Denghao Li, Yuqiao Zeng, Jianzong Wang +5

Buddhism is an influential religion with a long-standing history and profound philosophy. Nowadays, more and more people worldwide aspire to learn the essence of Buddhism, attachin…

cs.CL2022

Adaptive Activation Network For Low Resource Multilingual Speech Recognition

Jian Luo, Jianzong Wang, Ning Cheng +2

Low resource automatic speech recognition (ASR) is a useful but thorny task, since deep learning ASR models usually need huge amounts of training data. The existing models mostly e…

cs.CL2022

Self-Attention for Incomplete Utterance Rewriting

Yong Zhang, Zhitao Li, Jianzong Wang +2

Incomplete utterance rewriting (IUR) has recently become an essential task in NLP, aiming to complement the incomplete utterance with sufficient context information for comprehensi…

cs.CL2022

VU-BERT: A Unified framework for Visual Dialog

Tong Ye, Shijing Si, Jianzong Wang +3

The visual dialog task attempts to train an agent to answer multi-turn questions given an image, which requires the deep understanding of interactions between the image and dialog…